Leveraging AI for Current Research Information Systems: Opportunities and Challenges

Author(s)
Keywords

research information ...

current research info...

artificial intelligen...

data quality improvem...

research ethics

Issue Date
May 16, 2024
Publisher
euroCRIS
Type
Conference Proceeding
Abstract
Artificial Intelligence, including Machine Learning (ML), Natural Language Processing (NLP), Data Mining, and Big Data Analytics, is fundamental to improving decision-making, problem-solving, and automation of analytical tasks. At the core of AI’s relevance to CRIS are ML and Large Language Models (LLM) which are instrumental in advancing data analysis and managing the increasing complexity of the data. This overview focuses on these AI technologies to highlight their potential for significantly enhancing research information management.
Description
Extended abstract presented at the CRIS2024 conference in Vienna.-- Event programme available at https://cris2024.eurocris.org/#programme
18 slides.-- Presentation delivered within Session 5.1 "Artificial Intelligence" on Thu May 16th, 2024
URI
https://dspacecris.eurocris.org/handle/11366/2568
DOI
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Hartmann-Niederlechner_CRIS2024_slides_Leveraging-AI-for-CRIS.pdf

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Hartmann-Niederlechner_CRIS2024_Leveraging-AI-for-CRIS.pdf

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Extended abstract (PDF)
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